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J Lebrec

Publications and source records attributed to J Lebrec.

3 recordsLinked to original sources

Potential bias in Generalized Estimating Equations linkage methods under incomplete information.

The mean identity-by-descent (IBD) specification used in the Generalized Estimating Equations (GEE) methodology for linkage is only valid, strictly speaking, under the assumption of fully polymorphic markers. In practice, markers often provide only partial IBD information, which can potentially result in inconsistency of the locus location and gene effect estimates obtained by the GEE method. Using both simulations and theory, we identify some realistic conditions about marker information under which the validity of the GEE linkage methods may be arguable. Namely, researchers should not trust the GEE parameters' estimates and their associated confidence intervals in areas of the genome where IBD information is sparse or when this information changes abruptly. We show that properly standardized statistics based on IBD sharing provide a valid alternative.

Alleles↗

Score test for detecting linkage to complex traits in selected samples.

We present a unified approach to selection and linkage analysis of selected samples, for both quantitative and dichotomous complex traits. It is based on the score test for the variance attributable to the trait locus and applies to general pedigrees. The method is equivalent to regressing excess IBD sharing on a function of the traits. It is shown that when population parameters for the trait are known, such inversion does not entail any loss of information. For dichotomous traits, pairs of pedigree members of different phenotypic nature (e.g., affected sib pairs and discordant sib pairs) can easily be combined as well as populations with different trait prevalences.

Analysis of Variance↗

An international field study of the reliability and validity of a disease-specific questionnaire module (the QLQ-OV28) in assessing the quality of life of patients with ovarian cancer.

This study defines the psychometric properties of the European Organisation for Research and Treatment of Cancer (EORTC) quality of life (QOL) questionnaire designed to measure the QOL of patients with ovarian cancer. The ovarian cancer module (EORTC QLQ-OV28) was developed to supplement the EORTC QLQ-C30. The core questionnaire and the QLQ-OV28 were prospectively administered to 368 ovarian cancer patients after they had been treated with radical or debulking surgery followed by chemotherapy. The QLQ-OV28 module assesses abdominal/gastrointestinal symptoms, peripheral neuropathy, other chemotherapy side-effects, hormonal/menopausal symptoms, body image, attitude to disease/treatment and sexual functioning. Questionnaires were well accepted by patients, baseline compliance rates were 86%, 72% provided a second assessment, less than 3% of the items had missing data. Multi-trait scaling analyses confirmed the hypothesised scales. All hypothesised scales exhibited good psychometric properties. These results support the clinical and psychometric validity of the EORTC QLQ-OV28 module as a supplement to the EORTC QLQ-C30.

Adult↗